About the Role:

As the Senior Manager, Supply Chain Risk, Resilience & Compliance, you will lead the strategy, governance, and roadmap across key programs that strengthen supply chain resilience, improve the internal control environment, and build scalable governance for business continuity and circularity.

Key Responsibilities:

• Own the strategy, governance, and roadmap for supply chain risk management and resilience.
• Design and mature the supply chain risk monitoring framework and control tower.
• Establish risk indicators, escalation paths, reporting cadences, and mitigation governance across supplier, site, country, tariff, and other supply chain risk domains.
• Partner with Supply Chain, Procurement, and Market Intelligence to translate risk insights into action and prioritization.
• Define and track metrics to measure risk exposure, mitigation progress & resilience maturity.

Controls, Compliance & Business Continuity:

• Own the governance model for supply chain related SOX controls, audit readiness, and process compliance.
• Lead process and tooling improvements that strengthen control effectiveness and scalability.
• Serve as the supply chain lead for business continuity and ISO-related coordination, including alignment on risks, dependencies, recovery requirements, and continuity planning.
• Partner with Finance, Internal Audit, IT, and process owners to drive remediation, standardization, and ongoing compliance.
• Develop dashboards and executive reporting for controls health, remediation status, and compliance performance.

Circularity & Decommission Governance:

• Own the strategy and governance for circularity & decommission processes across sites.
• Establish standardized internal processes from identification of waste through pickup, disposition, auditability, and reporting.
• Drive cross-functional coordination across operations, sustainability, IT, finance, and external partners.
• Oversee process adherence, audit mechanisms, and performance reporting for end-of-life asset management.
• Define the reporting methodology and metrics for quarterly and annual sustainability outcomes, including processed, reused, recycled, and landfilled materials.

Requirements:

• Bachelor’s degree in Supply Chain Management, Business, Engineering, Finance, Accounting, Information Systems, Operations, or a related field.
• 10+ years of experience across supply chain, procurement, operations, risk mgmt., compliance, internal controls, business continuity, sustainability, or related functions.
• Experience building or scaling cross-functional programs, governance frameworks, and operating processes.
• Strong experience with supply chain risk management, supplier risk, resilience, or operational risk programs.
• Working knowledge of internal controls, audit readiness, remediation management, and process compliance.
• Experience developing KPIs, dashboards, executive reporting, SOPs, and process documentation.
• Strong cross-functional leadership and stakeholder management skills.

Preferred:

• Team management and leadership experience
• Experience in cloud infrastructure, data centers, semiconductors, hardware, manufacturing, or other capital-intensive operational environments.
• Familiarity with supply chain risk monitoring platforms, control tower tools, or similar intelligence solutions.
• Familiarity with business continuity frameworks and standards, including ISO 22301 concepts.
• Experience with circularity, reverse logistics, decommission, IT asset disposition, or sustainability reporting.
• Professional certifications in supply chain, audit, risk, compliance, or business continuity are a plus.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

Salary Range:

The base salary range for this role is $161,000 to $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Experience Level: senior Employment Type: full-time Workplace Type: onsite Category: Operations Industry: Technology Salary Range: $161,000 to $237,000 Required Skills: supply chain risk management, supplier risk, resilience, operational risk programs, internal controls, audit readiness, remediation management, process compliance, KPIs, dashboards, executive reporting, SOPs, process documentation, cross-functional leadership, stakeholder management Preferred Skills: team management, leadership experience, cloud infrastructure, data centers, semiconductors, hardware, manufacturing, supply chain risk monitoring platforms, control tower tools, business continuity frameworks, ISO 22301 concepts, circularity, reverse logistics, decommission, IT asset disposition, sustainability reporting, professional certifications in supply chain, audit, risk, compliance, business continuity

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You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced materials science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

The AI Tutor - Materials Science Specialist role is a remote position. We prefer candidates available for full-time employment, but exceptional applicants seeking part-time opportunities will also be considered.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Solve problems that help drive innovation in materials by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across materials science that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master’s or PhD in materials science, physics, chemistry, chemical engineering, or a highly related field.
• Expertise and specialization in a materials-related subdomain, including but not limited to energy materials, semiconductors, nanomaterials, metals, alloys, biomaterials, polymers, elastomers, ceramics, or glasses.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in materials science, demonstrated by multiple publications, or patents, preferably with one or more first-author papers, in reputable peer-reviewed journals.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

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This role sits at the intersection of quantum hardware, systems engineering, and software infrastructure, ensuring that cross-disciplinary teams deliver integrated quantum systems on schedule.

As a Senior TPM, you will own the planning and execution of large technical programs that bring these components together into deployable quantum systems.

You will operate in a fast-moving deep-tech environment where many efforts are research-driven and technically ambiguous, requiring strong judgment, technical understanding, and execution discipline.

Program Leadership

• Own the end-to-end delivery of complex technical programs at the system level.
• Build and maintain program roadmaps, milestones, and integration schedules for quantum system releases.
• Drive execution across multiple engineering teams while maintaining alignment with company priorities.

Cross-Functional Execution

• Coordinate work between teams, including:
• Quantum device & fabrication
• Cryogenic, control hardware and software
• Manage dependencies and integration across the quantum computing stack.

Systems Integration

• Lead cross-team integration planning for new quantum processor generations and system deployments.
• Ensure alignment between research milestones and engineering deliverables.
• Track readiness across hardware, firmware, and software layers.

Risk & Decision Management

• Identify technical, schedule, and operational risks early.
• Facilitate data-driven decisions with engineering leadership.
• Drive resolution of cross-team blockers and competing priorities.

Operational Excellence

• Establish scalable program management practices for deep-tech R&D.
• Improve engineering planning, milestone tracking, and program reporting.
• Support leadership with clear program visibility and status reporting.

Required Qualifications

• 7+ years of experience in technical program management, engineering program management, or systems engineering.
• Experience delivering complex multidisciplinary technology programs.
• Strong understanding of hardware + software system development lifecycles.
• Demonstrated ability to lead programs across multiple specialized engineering teams.
• Exceptional communication and stakeholder management skills.
• Ability to operate effectively in ambiguous, research-driven environments.

Preferred Qualifications

• Experience in quantum computing, semiconductors, advanced hardware systems, or deep-tech startups.
• Background working with R&D organizations or research-to-product transitions.
• Experience with large-scale system integration programs.
• Familiarity with Agile or hybrid development models in hardware/software environments.
• Degree in Engineering, Physics, Computer Science, or related technical discipline

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Location

San Francisco

Employment Type

Full time

Department

Partnerships

Compensation

• $370K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

Special Situations at OpenAI is the company’s commercial engine for its most complex and consequential opportunities. The team operates where new verticals, partnership models, and customer motions must be invented—before a repeatable GTM or delivery playbook exists—by bringing together product, research, engineering, and GTM leaders around a single outcome.

Many of these efforts begin as “new bets” (new verticals, new customer motions, new partnership models) and mature into repeatable ways of working that shape how OpenAI operates at scale. The team acts as a force-multiplier for the company by accelerating decision-making, aligning stakeholders, and converting complex opportunities into durable results.

About the role

We’re hiring a Deal Lead, Special Situations to stand up new vertical bets across financial services, life sciences, semiconductors, and energy. You will research industries you know deeply, identify where AI can create step-change value, originate and shape multi-project programs with FDEs and applied researchers, package them into compelling technical and commercial proposals, and execute creative, complex partnerships—while keeping executives and cross-functional teams tightly aligned.

Special Situations owns the overall success of each program, including commercial outcomes, while functional teams own execution decisions within their domains. You will engage executive sponsors when decisions have org- or company-level implications. You will set direction, build the coalition required to achieve it, structure the partnership and improve decision quality and velocity. When the work can move without Special Situations, you’ll shift to the next highest-leverage opportunity.

In this role, you will:

• Identify and size high-value opportunities within financial services, life sciences, semiconductors, and energy, translating industry pain points into concrete AI-driven commercial theses

• Map the partnership and competitive landscape in your vertical and design differentiated partnership strategies that OpenAI can win and scale

• Work with FDEs and applied researchers to design multi-project programs that combine models, tooling, data, and services into outcomes customers will pay for

• Define use cases, scope, sequencing, and success metrics that turn ambiguous opportunities into executable programs

• Create the technical and commercial narratives (decks, demos, proposals, and deal memos) that align customers, executives, and internal teams around a single plan

• Structure and negotiate non-standard partnerships, including revenue share, royalties, and bespoke commercial terms, through contract signature

• Drive executive-level alignment and decision-making on tradeoffs, resourcing, and risk

You may thrive in this role if you:

• Have 15+ years in business development, partnerships, corporate development, private equity or founding roles where you personally drove and closed complex, high-dollar deals from concept through delivery

• Have deep domain experience in financial services, life sciences, semiconductors, or energy, including an understanding of how large enterprises in those sectors buy, partner, and deploy technology

• Can take a vague opportunity and turn it into a clear commercial thesis that customers, executives, and technical teams can buy into and commit budget against

• Excel at building and closing non-standard deals that combine product, services, and long-term strategic value rather than off-the-shelf SKUs

• Know how to navigate large, sophisticated buyers, align multiple stakeholders, and keep deals moving when no one has full authority or clarity

• Strengthen decisions by framing commercial and technical trade-offs early so partners and OpenAI leadership can commit with confidence

• Maintain momentum as scope, pricing, risk, and partnership structures evolve

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